- Title
- Extraction of brain vessels from magnetic resonance angiographic images: concise literature review, challenges, and proposals
- Creator
- Luo, Suhuai; Zhong, Youliang
- Relation
- 27th Annual Conference of the Engineering in Medecine and Biology Society (EMBC'05). Proceedings of the 27th Annual Conference of the Engineering in Medecine and Biology Society (Shanghai, China 1-4 September, 2005) p. 1422-1425
- Publisher Link
- http://dx.doi.org/10.1109/IEMBS.2005.1616697
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2005
- Description
- The automated extraction of brain vessels from magnetic resonance angiography (MRA) has found its applications in vascular disease diagnosis, endovascular operation and neurosurgical planning. In this paper we first present a concise technical review on cerebral vasculature extraction from MRA. It reveals the latest development in the area of vessel extraction. Then we detail the main challenges to the researchers working in the vessel extraction and segmentation area. Based on the review and our experience in the area, we finally present our proposals on ways of developing robust vessel extracting algorithm. Examples of brain vasculature extracted with advanced hybrid approach are shown. Twenty one references are given.
- Subject
- biomedical MRI; blood vessels; brain; feature extraction; image segmentation; medical image processing; angiography
- Identifier
- http://hdl.handle.net/1959.13/939254
- Identifier
- uon:12761
- Rights
- Copyright © 2005 IEEE. Reprinted from Proceedings of the 27th Annual Conference of the Engineering in Medecine and Biology Society. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Language
- eng
- Full Text
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